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Estrous synchrony in a nonseasonal breeder: adaptive strategy or population process?

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  • P. M. R. Clarke
  • S. P. Henzi
  • L. Barrett

Abstract

The idea that female mammals can manipulate the duration of each other's estrus in an effort to influence the degree of synchrony between their periods of sexual receptivity is a persistent and popularly held one. It is frequently cited as proof of pheromonal communication in humans and often invoked by models of female reproductive strategies more generally. Yet, to date, no tests of the evolutionary arguments put forward by proponents of the phenomenon have been undertaken. We addressed this deficit with an analysis of the reproductive demography of wild female chacma baboons, where variance in the temporal distribution of female receptivity is known to occur. Specifically, we tested the predictions that this variance will reflect female attempts to minimize 1) the risks of being monopolized by a single male or 2) the intensity of interfemale competition for males. Using model comparison, we found no evidence that male number or operational sex ratio had any influence on the distribution of female receptivity, the number of females in estrus, or the duration of female sexual swellings. Indeed, when modeling estrous overlap and cycling female number, we found that a simple nondeterministic model provided the best fit. We conclude, therefore, that variance in the temporal distribution of female receptivity is indicative of nothing more than a population process and that socially mediated synchrony is not a tangible adaptive phenomenon.

Suggested Citation

  • P. M. R. Clarke & S. P. Henzi & L. Barrett, 2012. "Estrous synchrony in a nonseasonal breeder: adaptive strategy or population process?," Behavioral Ecology, International Society for Behavioral Ecology, vol. 23(3), pages 573-581.
  • Handle: RePEc:oup:beheco:v:23:y:2012:i:3:p:573-581.
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    File URL: http://hdl.handle.net/10.1093/beheco/arr230
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    References listed on IDEAS

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    1. László Zsolt Garamszegi & Sara Calhim & Ned Dochtermann & Gergely Hegyi & Peter L. Hurd & Christian Jørgensen & Nobuyuki Kutsukake & Marc J. Lajeunesse & Kimberly A. Pollard & Holger Schielzeth & Matt, 2009. "Changing philosophies and tools for statistical inferences in behavioral ecology," Behavioral Ecology, International Society for Behavioral Ecology, vol. 20(6), pages 1363-1375.
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